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SeniorFull-timePythonJavaData ScienceGitGo
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Engineer to join our Corporate Data team. This role focuses on scaling and maintaining the corporate people data warehouse, supporting analytics and reporting across the organization.
Key Responsibilities
- →Design, build, and maintain scalable data infrastructure to support analytics and reporting
- →Develop and operate ETL pipelines to ingest, transform, and deliver large-scale datasets
- →Work with distributed data processing frameworks such as Spark, Hive, or similar MPP architectures
- →Use SQL and data modeling techniques to structure and optimize datasets for analytics
- →Process and analyze large volumes of structured and semi-structured data
- →Write production-quality code using Python, Java, Scala, or Go
- →Ensure data reliability and availability, operating and monitoring ETL pipelines with strict SLAs
- →Partner closely with Data Analysts and stakeholders to provide reliable datasets
Requirements
- ✓5+ years of experience in Data Engineering, building and maintaining data infrastructure
- ✓Strong expertise in SQL, including joins, aggregations, unions, and window functions
- ✓Hands-on experience with data modeling and schema design for analytical systems
- ✓Experience building ETL pipelines using Airflow or similar orchestration tools
- ✓Experience with Big Data ecosystems, including Hadoop, Hive, Spark, or related technologies
- ✓Programming experience in Python, Java, Scala, or Go
- ✓Familiarity with UNIX/Linux environments and shell scripting
- ✓Understanding of software engineering best practices, including testing, monitoring, and documentation
- ✓Strong collaboration and communication skills when working with analysts and stakeholders
- ✓Ability to troubleshoot and resolve data issues across pipelines and BI tools
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